A developer building ANIMUS, an autonomous Rust system for persistent LLM memory, discovered that 52% of its knowledge graph nodes were duplicates. An audit revealed an overly aggressive filter trappe…
A developer wired up MCP tools for a multi-tenant Laravel app, implementing explicit organization-scoped filtering and authorization to prevent data leaks when AI agents access the system. The solutio…
A developer built MCP tools for an AI agent to drive an events platform, enforcing organization-scoped access and reusing existing permission strings to prevent privilege escalation. They also made LD…
An engineer synthesized over 60 publicly-reported first-hand accounts to compare the software-engineering interview loops at Anthropic and OpenAI. The analysis reveals that both companies have similar…
A developer spent a week testing an AI agent's ability to handle security workflows, finding that connecting the Aikido Security MCP via Vinkually enabled multi-step investigative queries that previou…
PowWater, a startup building an operating system for water delivery, is expanding to Mexico City after processing billions of liters in Kenya. The company uses a Python/FastAPI/PostgreSQL stack and in…
A developer explains that entity resolution is a harder problem than named entity recognition (NER) in enterprise systems. While NER extracts entity labels from text, entity resolution maps those labe…
A developer argues that backend engineers must shift from simply calling AI APIs to designing production-ready AI systems. The post outlines a structured approach with input, orchestration, and output…
A developer built a financial Named Entity Recognition (NER) pipeline for enterprise AI, focusing on operational entities like COMPANY, INVOICE, and PAYMENT_TYPE instead of traditional linguistic enti…
A developer outlines a method for generating synthetic enterprise datasets that preserve real business relationships, addressing the challenge of obtaining operational data for AI systems. The approac…
A developer identifies three common reasons AI loops fail, none of which are the AI's fault: the input gap (failing to provide new inputs), the perfection death spiral (over-optimizing prompts before …
A developer argues that as teams skip Figma and build UIs directly from prompts, they lose the built-in feedback loop that Figma comments provided. The canvas was where conversations happened, and wit…
A developer at a voice agent company traced a 1.4-second dead-air incident on a customer call, discovering that the latency was invisible in standard APM traces. The gap occurred between turn-detectio…
A developer argues that building custom API wrappers for ML models is a waste of time, advocating instead for using the Model Context Protocol (MCP) to connect AI agents directly to deployed models. T…
A developer at a dental group's voice agent pilot discovered that double-bookings occurred because the agent retried a booking API call after a timeout, but the first request had already succeeded. Th…
A developer measured the token cost of context provisioning for AI coding agents across 936 runs on the Apache Superset repository, comparing grep, graph-based, and LSP-based approaches. The results s…
A developer is exploring whether subscription models for AI tools like OpusClip are a pain point for creators. The developer proposes a desktop application that generates clips locally, giving users m…
George Erubami, an 18-year-old self-taught developer in Ibadan, Nigeria, built Aveliq, an AI-powered study companion app for Nigerian students. The app uses a five-provider AI fallback chain called GE…
Nous Research deployed its open-source Hermes Agent on AWS using a zero-inbound-security-group architecture, relying on AWS Systems Manager Session Manager for admin access and Telegram long-polling f…
A developer compared seven AI app builders as alternatives to Lovable in 2026, including Bolt.new, v0 by Vercel, Replit Agent, Base44, Bubble, Cursor, and Velra. Each tool excels in different areas: B…